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Distribution Parameters Estimation in Recurrent Synchronous Generalized Doubly Stochastic Flow of the Second Order

机译:分发参数估计在第二阶的经常性同步通用双随机流动

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摘要

We solve the estimation problem of the probability density parameters of the inter-event interval duration in a synchronous generalized flow of the second order, which can be used as a powerful mathematical model for the arrival processes in queuing systems and networks. The explicit form of the parameter estimates is determined by the method of moments on the basis of observations of the doubly stochastic flow under the recurrence conditions that are formulated in terms of the joint probability density of the durations of two adjacent inter-event intervals. The quality of the estimates is established by using the model, reproducing the flow behavior under conditions of complete observability.
机译:我们在二阶的同步广义流程中解决了事件间隔持续时间的概率密度参数的估计问题,其可以用作排队系统和网络中的到达过程的强大数学模型。参数估计的明确形式由基于在与两个相邻的间隔的持续时间的持续时间的关节概率密度方面配制的复发条件下的双随机流动的观察来确定。通过使用模型建立估计的质量,在完全可观察性的条件下再现流动行为。

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